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Math & Statisticsstatistics

Z-Score Calculator

Z-score with the percentile and two-tailed p-value it implies, using the normal CDF.

Also called: standard score calculator, how many standard deviations.

Z-score
1.5

A z-score of 1.5. 85 sits 1.5 standard deviations from the mean, at the 93.32%th percentile.

Percentile
93.32%
Two-tailed p-value
13.36%
Method and background

How this is calculated

The distance from the mean measured in standard deviations. Converting that to a percentile assumes the underlying distribution is normal, which is an assumption, not a fact, and the reason a z-score on visibly skewed data is misleading.

z = (value - mean) / sd
value
The value
mean
Population mean
sd
Population standard deviation

Worked examples

Each of these is asserted on every build. If a change to the engine ever moved one of these answers, the build would fail before the page could print it.

1.5 standard deviations above

Value
85
Mean
70
Standard deviation
10

Z-score1.5

standard normal table: Phi(1.5) = 0.93319

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the mean itself is z = 0

Value
70
Mean
70
Standard deviation
10

Z-score0

boundary

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zero standard deviation is undefined

Value
85
Mean
70
Standard deviation
0

Z-score0

degenerate case: guarded division

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Frequently asked questions

What does a z-score actually tell me?
How many standard deviations a value sits from the mean, which makes values from different distributions comparable. A z of 2 means the value is in the top 2.3% if the distribution is normal.
Does a z-score require a normal distribution?
The score itself does not; it is just a rescaling and can be computed for any distribution. Reading a probability off it does, because the percentile lookup assumes normality. Applying it to a skewed distribution is where it goes wrong.